iPhone 16 Pro Max
Geekbench AI Score
4446
Single Precision Score
33147
Half Precision Score
44596
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 03:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
14624
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
18935
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18143
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23520
381.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8250
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
144957
169.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
287015
336.4 IPS |
|
|
Object Detection (SP)
|
100% |
2350
186.4 IPS |
|
|
Object Detection (HP)
|
100% |
15494
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21219
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3545
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
39652
471.2 IPS |
|
|
Face Detection (Q)
|
100% |
53071
630.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7917
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94685
729.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
150480
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
21052
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244555
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
296034
382.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5126
189.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50691
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78275
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6270
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6126
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3990
68.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9209
158.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10121
174.9 IPS |
